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Author:

Nan, B. (Nan, B..) | Zhu, X. (Zhu, X..) | Ruan, X. (Ruan, X..) | Bi, L. (Bi, L..)

Indexed by:

EI Scopus

Abstract:

Legged robots possess redundant degrees of freedom and multiple footholds, making them highly promising for applications in disaster rescue, material transportation, and planet exploration. However, most previous studies have focused on continuous terrains, whereas walking in unstructured terrains such as plum-blossom piles present higher demands on robot posture control. This paper proposes a quadrupedal robot for gait control during walking in plum-blossom piles. The overall control process of the method is presented, followed by an analysis of the gait control of the quadruped robot. This includes the use of a PD controller to simulate the spring damping effect, the stability control of the robot's body through control target decomposition, and the gait control of individual legs using Jacques' matrix support phase control, combined with trajectory control to complete the swing phase of gait control. Additionally, an acceleration function is introduced to provide a buffering effect for posture adjustments of the quadruped robot. The proposed approach is evaluated using Webots simulation software, including simulation settings, results, and their interpretation. The results demonstrate the successful realization of motion control in complex terrains. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

Keyword:

Quadruped robot locomotion control unstructured terrain virtual model control

Author Community:

  • [ 1 ] [Nan B.]Beijing University of Technology, Faculty of Information Technology, Beijing, 100124, China
  • [ 2 ] [Zhu X.]Beijing University of Technology, Faculty of Information Technology, Beijing, 100124, China
  • [ 3 ] [Zhu X.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China
  • [ 4 ] [Ruan X.]Beijing University of Technology, Faculty of Information Technology, Beijing, 100124, China
  • [ 5 ] [Ruan X.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China
  • [ 6 ] [Bi L.]Beijing University of Technology, Faculty of Information Technology, Beijing, 100124, China

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Source :

ISSN: 1934-1768

Year: 2023

Volume: 2023-July

Page: 2400-2405

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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